/*
 * Artificial Intelligence for Humans
 * Volume 3: Deep Learning and Neural Networks
 * Java Version
 * http://www.aifh.org
 * http://www.jeffheaton.com
 *
 * Code repository:
 * https://github.com/jeffheaton/aifh
 *
 * Copyright 2014-2015 by Jeff Heaton
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 *     http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 *
 * For more information on Heaton Research copyrights, licenses
 * and trademarks visit:
 * http://www.heatonresearch.com/copyright
 */
package com.heatonresearch.aifh.selection;

import java.util.ArrayList;
import java.util.List;

/**
 * Base class for model selection searches.
 */
public abstract class ModelSelection {
    /**
     * The axes.
     */
    private final List<SearchAxis> searchAxises = new ArrayList<SearchAxis>();

    /**
     * @return The search axes.
     */
    public List<SearchAxis> getSearchAxises() {
        return this.searchAxises;
    }

    /**
     * Add a numeric axis.
     * @param start The start of the axis.
     * @param stop The end of the axis.
     * @param step The step.
     */
    public void addNumericAxis(double start, double stop, double step) {
        this.searchAxises.add(new NumericSearchAxis(start,stop,step));
    }

    /**
     * Add a category axis.
     * @param list The list of categories.
     */
    public void addCategoryAxis(String[] list) {
        this.searchAxises.add(new CategorySearchAxis(list));
    }

    /**
     * Get the next element to search.
     * @return The next element to search.
     */
    public abstract Object[] next();
}
